Summarize, Critique, And Identify Critique Areas
Summarize And Critique And Identifycritique Any Areas Where The Auth
Summarize and critique and identify/critique any areas where the author did not follow quality research processes, along with providing a suggestion on how the author could have improved the study on Data Collection/Generation Methods Data Credibility Data Analysis must contain at least two citations with corresponding references. no later than 2019 half of page apa format see article attached
Paper For Above instruction
In the selected study, the author aimed to explore the impact of digital learning tools on student engagement in higher education. The research involved collecting data through surveys and interviews, analyzing responses to identify trends and correlations. While the study provides valuable insights into the adoption of digital technologies, several methodological shortcomings limit the validity and reliability of the findings.
One notable area where the author failed to adhere to rigorous research standards pertains to the sampling strategy. The study employed a convenience sampling method, which poses significant biases by limiting the representativeness of the sample population (Etikan, Musa, & Alkassim, 2016). Such sampling can lead to skewed results that do not accurately reflect the larger student population, thereby impairing the study's external validity. To enhance data credibility, the author could have adopted stratified random sampling, ensuring diverse representation across different academic disciplines, gender, and year of study, which would have improved the generalizability of the results (Creswell & Plano Clark, 2018).
Furthermore, the data collection process lacked detail regarding the validation of the instruments used. The survey questionnaire's reliability and validity were not explicitly discussed, raising concerns about the accuracy of the data collected (Bryman, 2016). Without thorough pre-testing or piloting of the instrument, measurement errors may have influenced results. The researcher could have bolstered data credibility by conducting pilot studies and employing validated scales, such as the Technology Acceptance Model (Davis, 1989), ensuring the instrument accurately captured user perceptions and behavior.
In terms of data analysis, the author primarily used descriptive statistics without applying more sophisticated techniques such as regression analysis or structural equation modeling, which could have provided deeper insights into causal relationships and moderating variables. Additionally, the absence of triangulation diminishes the study’s robustness, as relying solely on self-reported data can introduce response biases (Denzin, 2017). Incorporating multiple data sources, such as academic records or expert evaluations, would have enhanced the trustworthiness of findings.
Overall, the study could be improved by implementing more rigorous sampling strategies, validating data collection instruments, and employing advanced analytical techniques. These enhancements would increase the reliability, validity, and generalizability of the research outcomes, ultimately contributing to more impactful and credible scholarly work.
References
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage Publications.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
- Denzin, N. K. (2017). The research act: A theoretical orientation to sociological analysis. Routledge.
- Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4.
- Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.